At a Glance
- Tasks: Transform complex data into actionable insights and user-friendly tools for commercial teams.
- Company: Join BSS and TF Solutions, part of Travis Perkins plc, a leader in the industry.
- Benefits: Competitive salary, excellent benefits, and opportunities for career development.
- Other info: Collaborative environment with direct influence on commercial decision-making.
- Why this job: Make a real impact on pricing strategies and business performance with cutting-edge technology.
- Qualifications: Degree in a quantitative field, strong SQL and Python skills, and experience with AI tools.
The predicted salary is between 63000 - 77000 £ per year.
BSS and TF Solutions, part of Travis Perkins plc, are now hiring for an exceptional Data Scientist to join our Commercial team and play a pivotal role in transforming our pricing intelligence and business performance. You'll be a trusted technical partner to Commercial, Sales and Branch teams, converting complex datasets into intuitive tools, clear visualisations and actionable strategies that directly protect and grow our margins.
The Opportunity: As our Data Scientist, reporting directly to the Head of Pricing (BSS & TF Solutions), you will support the core pricing function by using data science, statistical modelling and reporting to sharpen commercial decision-making. Working in a key individual contributor role, you will analyse large complex transaction datasets, build robust pricing guidance models and create user-friendly dashboards for non-technical commercial stakeholders. You will also champion modern analytical practices, utilising coding tools to accelerate testing, automation and iterative development within robust data governance standards.
What You'll Be Doing:
- Pricing Analytics & Modelling: Developing, maintaining and enhancing predictive models that power price guidance, margin performance, supplier support analysis, and cost to price pass through metrics.
- Price Guidance & Quantile Analysis: Analysing transaction data, customer behaviour and product tiers to refine quantile based pricing structures and optimise price execution.
- Statistical & Regression Analysis: Applying statistical methods and regression techniques to model commercial relationships, uncover margin trends and evaluate pricing strategies.
- Dashboard & Visualisation Development: Building clear, interactive and automated analytical outputs for commercial stakeholders using tools such as Looker Studio, Google Sheets, Power BI, or Tableau.
- AI-Assisted Coding & Automation: Leveraging AI tools (preferably Gemini) to streamline coding workflows, automate testing, maintain documentation and speed up analytical iterations.
- Commercial Insights & Recommendations: Translating complex mathematical and statistical findings into practical, commercially grounded advice for Branch, Sales and Finance teams.
- Data Quality & Governance: Validating, reconciling and auditing pricing data across core systems to safeguard data integrity and ensure highly dependable commercial decisions.
- Supplier Support & Rebate Analysis: Analysing cost changes, rebate structures, and vendor support data to drive superior gross margin outcomes.
About You: You'll be a curious, careful, and collaborative analytical practitioner who balances statistical rigour with fast paced commercial delivery.
Essential:
- Degree level qualification in Data, Mathematics, Statistics, Computer Science, Economics, Operational Research, Engineering, or a similar quantitative discipline.
- Strong SQL proficiency and practical Python coding capabilities.
- Proven capability in using AI tools (Gemini preferred) to speed up code development, debugging and testing.
- Demonstrated experience in regression analysis, quantile analysis and managing complex structured datasets.
- Exceptional written and verbal communication skills, with an ability to translate technical concepts for non-technical teams.
- Advanced spreadsheet capability alongside an understanding of data quality, validation and governance standards.
- Self-starter mindset with the ability to manage tasks independently, work through ambiguity and comfortably challenge assumptions when the data does not support them.
We'd Particularly Like to See:
- Master's degree or equivalent postgraduate qualification in a quantitative discipline.
- Prior experience within a pricing, finance, commercial, merchanting, retail, or B2B distribution environment.
- Hands-on experience developing dashboards in Looker Studio, Power BI, or Tableau, alongside experience with GCP, BigQuery, or automated data pipelines.
- Knowledge of machine learning techniques, clustering algorithms, LFL metrics and rebate/margin bridge analysis.
Why Join Us? This is a highly visible technical role with direct impact across BSS and TF Solutions. You'll have the opportunity to shape and modernise commercial decision making across two leading industry brands. Partner directly with Commercial Directors, Pricing Heads and operational leadership. See the direct financial result of your mathematical and analytical models on group performance. Develop your career within BSS and the wider Travis Perkins Group network.
Ready to Make an Impact? If you're an ambitious data scientist looking for a role that combines technical depth, commercial strategy and modern technology, we'd love to hear from you.
Contract Type: Permanent - Full time
Salary: Competitive + Excellent Benefits
Location: Lutterworth, Leicestershire
Data Scientist in Northampton employer: Travis Perkins
Travis Perkins is an excellent employer that prioritises employee development and a collaborative work culture, making it an ideal place for those looking to grow their careers in the North West Region. With a strong focus on safety and customer service, employees benefit from hands-on leadership opportunities, competitive compensation, and a supportive environment that encourages teamwork and innovation.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Northampton
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Travis Perkins!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist at Travis Perkins.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Travis Perkins.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist at Travis Perkins, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Scientist in Northampton
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Travis Perkins, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Travis Perkins. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Travis Perkins
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Travis Perkins!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
